Spatial Data Mining for Watershed Planning on the Loess Plateau Based on DEM Datasets

LIU Wan-qing1; CHEN Yun-ming2; ZHANG Chao-chao1; YU Chuan-cai1

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Spatial Data Mining for Watershed Planning on the Loess Plateau Based on DEM Datasets

- Spatial Data Mining for Watershed Planning on the Loess Plateau Based on DEM Datasets
- Bulletin of Soiland Water Conservation Vol. 29, Issue 2, Pages: 229-232(2010)
- 作者机构：
  
  1. 西北大学城市与环境学院,陕西,西安,710127
  2. 中国科学院水利部水土保持研究, 陕西杨凌,712100
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
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LIU Wan-qing1, CHEN Yun-ming2, ZHANG Chao-chao1, et al. Spatial Data Mining for Watershed Planning on the Loess Plateau Based on DEM Datasets[J]. Bulletin of Soiland Water Conservation, 2010, 29(2): 229-232.
DOI：

LIU Wan-qing1, CHEN Yun-ming2, ZHANG Chao-chao1, et al. Spatial Data Mining for Watershed Planning on the Loess Plateau Based on DEM Datasets[J]. Bulletin of Soiland Water Conservation, 2010, 29(2): 229-232. DOI：

摘要

黄土高原小流域规划需要多种地理背景数据支持，以陕西省安塞县马家沟流域为样区，以DEM为基础数据集，采用ArcGIS技术及多种空间分析方法，进行了坡度分级、地貌分类、坡向分类等方面的数据挖掘实验，获得了一组小流域规划本底数据挖掘的参数和指标，并提出了以数值编码为核心的多元地理数据集的空间叠加与融合方法，研究成果对于指导黄土高原小流域规划具有参考价值。

Abstract

It is essential for regional soil erosion survey and monitoring to calculate LS factor at the watershed and regional scales. Based on the theories of slope hydrology and soil erosion and the technologies of digital terrain analysis

the principles for slope and length factor are summarized and the methods and flowchart are suggested. By taking Xiannangou as an example

the LS themes are extracted and the characters are analyzed statistically and cartographically. The issues that should be studied urgently are discussed at last.

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